initial commit

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cal', 'is_cat', 'classify_image']
+
+# %% ../app.ipynb 4
+from fastai.vision.all import *
+import gradio as gr
+def is_cal(x): return x[0].isupper()
+
+# %% ../app.ipynb 7
+def is_cat(x): return x[0].isupper() 
+learn = load_learner('firstModel.pkl')
+
+# %% ../app.ipynb 9
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../app.ipynb 11
+image = gr.components.Image(shape=(192,192))
+label = gr.components.Label()
+examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

firstModel.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2a45fb681eeeb7edd0ca18239321391b3a406663026b08e8c307d3f83bccfbaf
+size 47061419